Market Insights Operations Contractor

Responsibilities

• Plan, manage, and execute testing cycles: Define games, jurisdictions, questions, and schedules; ensure rationale is documented and visible.
• Operate and refine third-party AI agentic testing platforms: Configure runs, refine agent instructions, review and classify outputs, and follow through with vendors.
• Conduct detailed Data QA: Review AI outputs, check and reconcile data, diagnose trends, cross-reference with client implementations, and resolve anomalies before escalation.
• Perform manual testing for scenarios not yet covered by agentic automation: Scope, run, and document manual tests according to repeatable SOPs.
• Maintain clear, explainable methodology, SOPs, and result documentation for stakeholders.
• Provide daily status and progress visibility during active cycles; ensure no backlog of QA or unresolved issues.
• Drive blockers to resolution, clearly logging reasons and responsible owners.

What Success Looks Like

• Testing plans are finalized before each cycle, with clear scope, rationale, and schedules.
• Real-time cycle status is maintained and visible daily during testing.
• No QA backlog: Completed runs are reviewed within two business days.
• Data issues are detected and resolved upstream, with explanations for all trends and anomalies.
• Every blocked or inconclusive outcome is clearly documented and tracked to resolution.
• Able to articulate what changed, why, and confidence level in results to stakeholders without engineering escalation.…